Approaches to Assessing the Quality of Observational Studies of Clinical Practice Based on the Big Data Analysis

Abstract

The article is devoted to the discussion of the problems of assessing the quality of observational studies in real clinical practice and determining their place in the hierarchy of evidence-based information. The concept of “big data” and the acceptability of using such a term to refer to large observational studies is being discussed. Data on the limitations of administrative and claims databases when performing observational studies to assess the effects of interventions are presented. The concept of confounding factors influencing the results of observational studies is discussed. Modern approaches to reducing the severity of bias in real-life clinical practice studies are presented. The criteria for assessing the quality of observational pharmacoepidemiological studies and the fundamental differences between such studies and randomized clinical trials are presented. The results of systematic reviews of real-life clinical trials to assess the effects of direct oral anticoagulants are discussed.

Analysis on Influencing Factors of Consumer Trust in E-Commerce Marketing of Green Agricultural Products Based on Big Data Analysis

“…As one of the emerging economic models, e-commerce marketing of green agricultural products can transmit information in a low-cost way across space and time. E-commerce marketing has rapidly developed in a short time [36] and has become one of the important economic modes in China. ere are many advantages in the development of e-commerce marketing, which has high development potential and growth space.…”